商业智能分析师
Business Intelligence Analyst
业务智能分析师在eMoney中发挥关键作用，通过将原始数据转化为有意义的见解，支持数据驱动的决策。该角色不仅进行基础分析，还独立管理分析项目，开发仪表盘，实施业务逻辑，并与业务部门紧密合作解决复杂问题。业务智能分析师定义关键绩效指标（KPI），参与数据治理，并确保系统间的数据完整性。该角色将业务问题转化为分析解决方案，并支持eMoney企业数据生态系统的推进。
职位职责
- 从需求收集到交付，负责中等复杂度的分析项目，与相关方合作定义目标和成功指标。
- 分析和解释来自多个来源的结构化和非结构化数据，以发现趋势、模式和机会。
- 使用BI工具（如Power BI、Looker）设计和开发报告和仪表盘，使输出符合相关方需求和业务目标。
- 将业务逻辑转化为技术规范，并在分析环境中实现计算、KPI和规则。
- 进行探索性分析和假设检验，验证假设并指导业务决策。
- 与数据工程师和开发人员协作，确保数据流、结构和集成满足分析需求。
- 通过创建、维护和执行数据定义、元数据和血缘文档，为数据治理工作做出贡献。
- 应用数据质量和验证技术，提高组织内对数据的信任度。
- 与运营和跨职能团队合作，识别优化流程、提升客户体验和增加收入的机会。
- 使用基本的数据建模技术（如星型/雪花型模式），并协助开发数据管道和ETL流程。
- 向多样化受众展示分析结果，使用可视化叙事和通俗语言解释，推动共识和行动。
要求
- 量化学科的学士学位——数学、统计学、数据和分析优先，或同等经验
- 3年以上数据科学、统计分析、业务智能或相关咨询类岗位经验
技能
- 精通SQL，在商业环境中具备编写和优化复杂查询的经验。
- 了解数据模型
查看英文原文
The Business Intelligence Analyst plays a key role in supporting data-informed decisions across eMoney by transforming raw data into meaningful insights. This role goes beyond foundational analysis by independently managing analytics projects, developing dashboards, implementing business logic, and partnering closely with business units to solve complex problems. The Business Intelligence Analyst defines KPIs, contributes to data governance, and ensures data integrity across systems. This role translates business questions into analytical solutions and supports the advancement of eMoney’s enterprise data ecosystem.
Job Responsibilities
- Own medium-complexity analytics projects from requirements gathering through delivery, working with stakeholders to define objectives and success metrics.
- Analyze and interpret structured and unstructured data from multiple sources to uncover trends, patterns, and opportunities.
- Design and develop reports and dashboards using BI tools (e.g., Power BI, Looker), aligning outputs with stakeholder needs and business goals.
- Translate business logic into technical specifications and implement calculations, KPIs, and rules in analytics environments.
- Conduct exploratory analysis and hypothesis testing to validate assumptions and guide business decisions.
- Collaborate with data engineers and developers to ensure data flows, structures, and integrations meet analytical requirements.
- Contribute to data governance efforts by creating, maintaining, and enforcing data definitions, metadata, and lineage documentation.
- Apply data quality and validation techniques to improve trust in data across the organization.
- Partner with operational and cross-functional teams to identify opportunities to optimize processes, improve client experience, and increase revenue.
- Utilize basic data modeling techniques (e.g., star/snowflake schema) and assist in the development of data pipelines and ETL workflows.
- Present findings to diverse audiences, using visual storytelling and plain-language explanations to drive alignment and action.
Requirements
- Bachelor’s degree in a quantitative discipline – math, statistics, data and analytics preferred or equivalent experience
- 3+ years’ experience in data science, statistical analysis, business intelligence or related consultative role
Skills
- Proficient in SQL, with experience writing and optimizing complex queries in a business environment.
- Working knowledge of data modeling concepts (e.g., star schema, snowflake, normalization).
- Familiarity with data pipeline/ETL processes and collaboration with data engineering teams.
- Hands-on experience with data visualization and reporting tools (e.g., Power BI, Looker, Tableau).
- Exposure to Python or other scripting languages for analysis or automation is a plus.
- Strong analytical thinking and problem-solving abilities, with attention to detail and data accuracy.
- Ability to clearly communicate findings and translate technical insights into business recommendations for both technical and non-technical audiences.
- Experience contributing to data governance, including data quality practices, definitions, and metadata maintenance.
- Comfortable managing priorities and working independently within fast-paced, collaborative environments.
- Strong attention to detail
- Strong analytical and problem-solving skills to interpret data and draw meaningful conclusions.
The salary range for this position is $84,000 - $108,000; commensurate salary to be determined based on skills, professional background and expertise. This position is also eligible, pursuant to applicable eMoney policies, for the annual bonus program, retirement contributions, health insurance, sick leave, parental leave and paid time off.
At eMoney, we’re powering what’s possible in financial planning. Our mission is to help people talk about money and make more informed financial decisions. Through our comprehensive financial planning solutions, we help advisors bring clarity to complex decisions and deliver more personalized guidance.
Today, eMoney supports more than 138,000 financial professionals who guide the financial lives of over 7 million end clients. That reach gives every member of our team the opportunity to contribute to work that makes a meaningful, lasting impact.
We’re equally committed to powering what’s possible for our people. We foster an inclusive, people-first culture where diverse perspectives are valued, innovation is encouraged, and employees are supported in doing their best work.
eMoney is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Originally posted on Himalayas